SWE Intern, AI, Navigation & Controls… at Cobot · Santa…

Summary: Cobot is a growing robotics startup focused on advancing the capabilities of autonomous robots through cutting-edge AI and machine learning. They are seeking a SWE Intern to develop and maintain software for their on-robot autonomy stack, applying the latest advancements in AI research to improve robot performance in real-world environments. Responsibilities: - Develop and maintain software for our on-robot autonomy stack leveraging the latest AI research in navigation, controls, multimodal models, end-to-end models, and LLMs - Leverage open source models and the latest research papers to improve the capabilities of our robots operating in customer sites - Train machine learning models for navigation, controls, and behaviors on our robot - Optimize trained models for on-robot deployment Required Qualifications: - Pursuing an undergraduate degree in Computer Science, Robotics, AI, Machine Learning, or related field - Experience with deep learning frameworks such as Pytorch, Tensorflow, etc - Understanding of multimodal models, modern ML architectures and approaches (transformers, diffusion models, reinforcement learning, etc.) - Proficiency with Git, version control, and Linux environments - Skilled in Python - Highly motivated teammate with excellent oral and written communication skills - Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team - Willing to occasionally travel - Must have and maintain US work authorization Preferred Qualifications: - Demonstrated ability to deploy ML models to robots in production - Experience with end to end learning approaches for navigation and controls - Experience with perception for robotics, autonomous vehicles, or other real world applications - Practical experience with ML software engineering best practices – for example, experiment tooling, data pipelines, model training, and workflow automation - Experience optimizing ML models for deployment in compute constrained environments - Familiarity with edge compute architectures Required Skills: Machine Learning, Deep Learning, Python Important Skills: Pytorch, Tensorflow, Multimodal Models, Git, Linux